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Fraunhofer – IAIS/IGD

The Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. is with more than 20,000 employees and 2 Billion Euro annual research budget one of the leading organizations for applied research world-wide. Fraunhofer participates in the project with two institutes: the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), and The Fraunhofer Institute for Computer Graphics Research (IGD). The Fraunhofer IAIS is the Fraunhofer Society’s “data institute” and one of the most renowned research institutions in the data science area, with an extremely strong track record in data mining, machine learning, visual analytics, semantic technologies, information retrieval and software engineering. In addition to the strong position in research IAIS has an outstanding track record in exploitation and transfer of research results. In addition to application-oriented European research projects, this is demonstrated in particular through contractual research performed for customers in telecommunications (Vodafone, Nokia Siemens), financial services and insurance (Allianz, Commerzbank), publishers (Springer, Zeit), retail (Rewe, Douglas) and logistics (Deutsche Post). Through its business consultants networks and CRM database IAIS has strong ties to all large German companies and a significant share of Germany’s SMEs and startups. The Knowledge Discovery Department (KD) at the Fraunhofer Institute IAIS in Sankt Augustin, Germany, is a research group (about 50 scientists) operating in the field of Machine Learning, Data Mining, and Visual Analytics The Fraunhofer IGD is the world's leading institute for applied research in Visual Computing. Visual Computing is image- and model-based information technology and includes computer graphics, computer vision, as well as virtual and augmented reality. Fraunhofer IGD develops prototypes and complete solutions based on end-user-specific requirements. Their research and development projects are directly applicable to current problems in industry. Visual analytics and semantics visualization are the topics of the Competence Center for Information Visualization and Visual Analytics (IVA) at Fraunhofer IGD. The interdisciplinary team around Dr. Jörn Kohlhammer conducts research and develops solutions for the interactive visualization of big data, so called visual analytics technologies, solutions for semantics visualization and real-time solutions for the simulation, visualization and rendering of data.

Role in SoBigData:

FRH are contributing their IVAS visual analytics infrastructure, to be integrated in the SoBigData RI and offer both transnational and virtual access. In addition, they are leading the JRA activities in T9.5 on enhancing the SoBigData RI with new visual analytics methods. They are also involved in a wide range of networking activities, namely summer schools, workshops, innovation and impact generating activities with industry users; impact through policy bodies.

Infrastructure brought into SoBigData:

Fraunhofer IGD will contribute their expertise in the integration of disparate tools into cohesive analytics pipelines. Their major infrastructural contribution (the visual analytics framework) was born out of a need to systematise the integration process. In addition, the researchers in the Competence Centre for IVA have experience in user-centred design, engineering and deployment of visual analytics solutions, which they will bring into the design and evaluation work packages.
IAIS has a cluster of 35 high-performance servers connected to a living lab, which its uses to develop big and linked data prototype systems. Fraunhofer maintains a large scale Customer Relationship Management system with tens of thousands of business contacts in all major German and European companies and a significant part of German SMEs.

Principal Investigator:

Gennady Andrienko

Country:

Germany

About SoBigData.eu

SoBigData.eu receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 654024
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